Lavenity

Lavenity is a front-office layer for service businesses that handles the gap between an inbound message and a technician on the calendar. The AI agent Ven qualifies every enquiry by extracting address, equipment details, fault description, and access instructions — flagging which answers the customer provided and which were inferred. Once qualification is complete and policy rules pass, Ven proposes a slot drawn from actual working hours, technician skills, service zones, and travel buffers. Your operator reviews the proposal field by field and approves or rejects before anything reaches the customer. On confirmation, a work order is generated with the full context attached.

The differentiating feature is the operator approval gate built into every proposal. Nothing is promised, sent, or booked on Ven’s initiative alone. This is not a concession — it is the architecture. The docs describe each service template as defining what ‘ready to book’ means: required questions, default duration, eligible zones, required skills. Policy enforcement is logged per request, including the cases where a booking was blocked, so you have a record if a customer disputes the outcome.

Lavenity fits teams where the front-office bottleneck is the qualification and scheduling loop — recurring maintenance, repair visits, any service where the same four or five questions determine whether a job can be booked. It fits less well when your operation requires pushing confirmed work orders into an existing field service management platform via API, or when you need to self-host for data residency reasons. No API and no self-hosted option are listed anywhere in the vendor’s documentation. Teams that need confirmed jobs to flow automatically into a separate scheduling or billing system will find themselves copying data manually or hitting a hard wall.